New mechanism of combination crossover operators in genetic algorithm for solving the traveling salesman problem

01/14/2020
by   Pham Dinh Thanh, et al.
0

Traveling salesman problem (TSP) is a well-known in computing field. There are many researches to improve the genetic algorithm for solving TSP. In this paper, we propose two new crossover operators and new mechanism of combination crossover operators in genetic algorithm for solving TSP. We experimented on TSP instances from TSP-Lib and compared the results of proposed algorithm with genetic algorithm (GA), which used MSCX. Experimental results show that, our proposed algorithm is better than the GA using MSCX on the min, mean cost values.

READ FULL TEXT
research
04/10/2015

Study of Some Recent Crossovers Effects on Speed and Accuracy of Genetic Algorithm, Using Symmetric Travelling Salesman Problem

The Travelling Salesman Problem (TSP) is one of the most famous optimiza...
research
03/22/2023

CSRX: A novel Crossover Operator for a Genetic Algorithm applied to the Traveling Salesperson Problem

In this paper, we revisit the application of Genetic Algorithm (GA) to t...
research
04/14/2017

Solving the Uncapacitated Single Allocation p-Hub Median Problem on GPU

A parallel genetic algorithm (GA) implemented on GPU clusters is propose...
research
05/24/2010

Genetic algorithms and the art of Zen

In this paper we present a novel genetic algorithm (GA) solution to a si...
research
08/01/2022

CBAG: An Efficient Genetic Algorithm for the Graph Burning Problem

Information spread is an intriguing topic to study in network science, w...
research
04/04/2012

PID Parameters Optimization by Using Genetic Algorithm

Time delays are components that make time-lag in systems response. They ...
research
04/17/2017

A Sport Tournament Scheduling by Genetic Algorithm with Swapping Method

A sport tournament problem is considered the Traveling Tournament Proble...

Please sign up or login with your details

Forgot password? Click here to reset